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Having trouble with posing characters? Draw with 3D models! ✅ Accurate poses & easy to move angles ✅ Quick tracing by line extraction Check out 3D assets for webtoons on ACON3D

3,188,284 просмотров • 3 лет назад •via X (Twitter)

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Wonderland: Navigating 3D Scenes from a Single Image Contributions: • First, we introduce a representation for controllable 3D generation by leveraging the generative priors from camera-guided video diffusion models. Unlike image models, video diffusion models are trained on extensive video datasets. This enables them to capture comprehensive spatial relationships within scenes across multiple views and embed a form of "3D awareness" in their latent space, which allows us to maintain 3D consistency in novel view synthesis. • Second, to achieve controllable novel view generation, we empower video models with precise control over specified camera motions. We introduce a novel dual-branch conditioning mechanism that effectively incorporates desired diverse camera trajectories into the video diffusion model. This enables expansion of a single image into a multi-view consistent capture of a 3D scene with precise pose control. • Third, to achieve efficient 3D reconstruction, we directly transform video latents into 3DGS. We propose a novel latent-based large reconstruction model (LaLRM) that lifts video latents to 3D in a feed-forward manner. With this design, during inference, our model directly predicts 3DGS from a single input image, effectively aligning the generation and reconstruction tasks—and bridging image space and 3D space—through the video latent space. Compared with reconstructing scenes from images, the video latent space offers a 256× spatial-temporal reduction while retaining essential and consistent 3D structural details. Such a high degree of compression is crucial, as it allows the LaLRM to handle a wider range of 3D scenes within the reconstruction framework, with the same memory constraints.

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📍 $20 Trillion in Real-World Assets Is Ready for Tokenization Let me put you on to something big: Decrepit . It’s being called the “Uniswap for RWAs” (Real-World Assets), and for good reason. They’re bridging TradFi and DeFi with institutional-grade tech, opening access to tokenized assets like real estate, commodities, and even carbon credits. This isn’t just another project—it’s the future of RWA 🔑 Why You Should Be Watching IX Swap ✅ Compliance You Can Trust This isn’t just crypto hype. IX Swap is built for institutions and retail investors alike, with security and regulatory compliance at its core. ✅ Scalable Liquidity Their AMM tech is transforming illiquid assets into 24/7 accessible investments. Tokenized real estate, art, carbon credits—you name it. ✅ Diversified Asset Access With IX Swap, you’re not limited to just crypto-native assets. Imagine owning a fraction of a property or even carbon credits. 💡 And here’s what really stands out: They’re backed by big names like Coinbase, LINE, and UOB Bank Ventures. IX Swap is already ahead in the $20 trillion RWA market, and they’re just getting started. 📈 Oh, and it’s live on MEXC. If you’re not paying attention to $IXS, you’re missing out. 🔗 Check out the MEXC listing here 🌐 Learn more about the platform here: This is your chance to get in early on something real. Tokenized assets are the next frontier. Are you ready?

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